Diagnosis of Basal Cell Carcinoma by Raman Spectroscopy

Gniadecka, Monika; Wulf, H; Mortensen, N. Nymark; Nielsen, O. Faurskov; Christensen, D. H.

doi:10.1002/(sici)1097-4555(199702)28:2/3<125::aid-jrs65>3.0.co;2-#

Cited by 193 publications

(73 citation statements)

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“…These variables were based on information regarding the biochemical compounds present in biological (skin) tissues analysed through the identification of the Raman spectra (Figure 1). This identification was based on Gniadecka et al 7 proposal. With visual analysis, compared with normal skin, the melanoma spectra presented a decrease on the Amide I band, with spectral area distortion between 1640 and 1670 cm -1 , which suggests change in the proteins' molecular composition.…”

Section: Resultsmentioning

confidence: 99%

“…The spectra collected from the skin with no alterations (control group) were similar to those collected previously 7,8 . The Amide I band (1640-1700 cm -1 ) corresponds mainly to the stretch vibrational mode of the ligations C=O, whereas Amide III (1222-1362 cm -1 ), is nominated by the vibration in the ligations N-H plan and the stretch of C-N.…”

Section: Bandsmentioning

confidence: 99%

“…The Amide I band (1640-1700 cm -1 ) corresponds mainly to the stretch vibrational mode of the ligations C=O, whereas Amide III (1222-1362 cm -1 ), is nominated by the vibration in the ligations N-H plan and the stretch of C-N. Both regions thus reflect the secondary structure of the proteins 7 . The lipid structure is represented by the vibration of CH 2 in the region between 1420 to 1500 cm -1 .…”

Section: Bandsmentioning

confidence: 99%

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Differential diagnosis in primary and metastatic cutaneous melanoma by FT-Raman spectroscopy

et al. 2010

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Purpose:To qualify the FT-Raman spectral data of primary and metastatic cutaneous melanoma in order to obtain a differential diagnosis. Methods: Ten normal human skin samples without any clinical or histopathological alterations, ten cutaneous melanoma fragments, and nine lymph node metastasis samples were used; 105, 140 and 126 spectra were obtained respectively. Each sample was divided into 2 or 3 fragments of approximately 2 mm 3 and positioned in the Raman spectrometer sample holder in order to obtain the spectra; a monochrome laser light Nd:YAG at 1064 nm was used to excite the inelastic effect. Results: To differentiate the three histopathological groups according to their characteristics extracted from the spectra, data discriminative analysis was undertaken. Phenylalanine, DNA, and Amide-I spectral variables stood out in the differentiation of the three groups. The percentages of correctly classified groups based on Phenylalanine, DNA, and Amide-I spectral features was 93.1%. Conclusion: FT-Raman spectroscopy is capable of differentiating melanoma from its metastasis, as well as from normal skin. Key words: Melanoma. Spectrum Analysis, Raman. Diagnosis. Biopsy. RESUMO Objetivo:Qualificar os dados espectrais FT-Raman do melanoma cutâneo primário e metastático e assim realizar o diagnóstico diferencial. Métodos: Foram utilizadas amostras de 10 fragmentos de pele sem alterações clínicas ou histopatológicas, 10 de melanomas cutâneos e 9 de metástases linfonodais; 105, 140 and 126 espectros foram obtidos respectivamente. Cada amostra foi dividida em 2 ou 3 frações de 2 mm 3 e posicionada no porta amostras do espectrômetro Raman para obtenção dos espectros, por meio da excitação do espalhamento inelástico pelo laser de Nd:YAG em 1064 nm incididos na amostra. Resultados: Para diferenciar os três grupos formados de acordo com as características fornecidas pelos espectros, realizamos a análise discriminante dos dados. As variáveis espectrais Fenilalanina, DNA e Amida-I se destacaram na capacidade de diferenciação dos três grupos histológicos. A porcentagem de classificação correta utilizando estes critérios foi de 93,1%; o que mostra a eficiência da análise realizada. Conclusão: A espectroscopia FT-Raman é capaz de diferenciar o melanoma de sua metástase, assim como da pele normal.

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Section: Resultsmentioning

confidence: 99%

Section: Bandsmentioning

confidence: 99%

Section: Bandsmentioning

confidence: 99%

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Differential diagnosis in primary and metastatic cutaneous melanoma by FT-Raman spectroscopy

et al. 2010

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“…Other studies have also shown the ability of Raman spectroscopy to accurately classify diseased tissue in brain, 16,17 skin, [18][19][20][21][22][23][24] cervix, [25][26][27] breast, 1,2,9,10,28-33 and other organs. 8,11,[34][35][36][37][38][39][40][41][42][43][44] Our data is confirmatory, and, in addition, demonstrates changes in the tumor bed, which probably represent the detection of chemical signs of preneoplastic changes.…”

Section: Discussionmentioning

confidence: 99%

Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model

et al. 2007

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Raman spectroscopy shows potential in differentiating tumors from normal tissue. We used Raman spectroscopy with near‐infrared light excitation to study normal breast tissue and tumors from 11 mice injected with a cancer cell line. Spectra were collected from 17 tumors, 18 samples of adjacent breast tissue and lymph nodes, and 17 tissue samples from the contralateral breast and its adjacent lymph nodes. Discriminant function analysis was used for classification with principal component analysis scores as input data. Tissues were examined by light microscopy following formalin fixation and hematoxylin and eosin staining. Discriminant function analysis and histology agreed on the diagnosis of all contralateral normal, tumor, and mastitis samples, except one tumor which was found to be more similar to normal tissue. Normal tissue adjacent to each tumor was examined as a separate data group called tumor bed. Scattered morphologically suspicious atypical cells not definite for tumor were present in the tumor bed samples. Classification of tumor bed tissue showed that some tumor bed tissues are diagnostically different from normal, tumor, and mastitis tissue. This may reflect malignant molecular alterations prior to morphologic changes, as expected in preneoplastic processes. Raman spectroscopy not only distinguishes tumor from normal breast tissue, but also detects early neoplastic changes prior to definite morphologic alteration. © 2007 Wiley Periodicals, Inc. Biopolymers 89: 235–241, 2008. This article was originally published online as an accepted preprint. The “Published Online”date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com

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“…[49][50][51][52][53][54][55] The first processing step involves background subtraction whereby a dark spectrum is subtracted from the raw spectrum. Second, the wavelength and intensity calibrations are performed in a very similar manner as described for the fluorescence spectra; the only difference is that the peak fitting algorithm is used to find Tylenol pixel locations (instead of HgAr lines as needed for the fluorescence).…”

Section: Ramanmentioning

confidence: 99%

Design and characterization of a novel multimodal fiber-optic probe and spectroscopy system for skin cancer applications

Sharma

Marple²,

Reichenberg

et al. 2014

Review of Scientific Instruments

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The design and characterization of an instrument combining Raman, fluorescence, and reflectance spectroscopic modalities is presented. Instrument development has targeted skin cancer applications as a novel fiber-optic probe has been specially designed to interrogate cutaneous lesions. The instrument is modular and both its software and hardware components are described in depth. Characterization of the fiber-optic probe is also presented, which details the probe's ability to measure diagnostically important parameters such as intrinsic fluorescence and absorption and reduced scattering coefficients along with critical performance metrics such as high Raman signal-to-noise ratios at clinically practical exposure times. Validation results using liquid phantoms show that the probe and system can extract absorption and scattering coefficients with less than 10% error. As the goal is to use the instrument for the clinical early detection of skin cancer, preliminary clinical data are also presented, which indicates our system's ability to measure physiological quantities such as relative collagen and nicotinamide adenine dinucleotide concentration, oxygen saturation, blood volume fraction, and mean vessel diameter.

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Diagnosis of Basal Cell Carcinoma by Raman Spectroscopy

Cited by 193 publications

References 2 publications

Differential diagnosis in primary and metastatic cutaneous melanoma by FT-Raman spectroscopy

Differential diagnosis in primary and metastatic cutaneous melanoma by FT-Raman spectroscopy

Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model

Design and characterization of a novel multimodal fiber-optic probe and spectroscopy system for skin cancer applications

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